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Responsibilities

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- Analyze large datasets related to commercial Property & Casualty (P&C;) claims to identify trends, anomalies, and opportunities for improvement.
- Develop and maintain dashboards, reports, and visualizations to communicate key metrics and findings to stakeholders.
- Perform root cause analysis for claims performance issues and recommend data-driven solutions.
- Provide insights to enhance claims handling processes, reduce costs, and improve overall operational efficiency.
- Identify opportunities for automation of manual processes and implement advanced analytics tools to streamline workflows.
- Collaborate with IT and data engineering teams to improve data quality, enhance data pipelines, and ensure seamless data integration.
- Act as a moderator for the Guidewire ClaimCenter master mapping, consolidating data flows across integrations.
- Analyze and resolve database issues in Guidewire ClaimCenter to maintain data integrity and optimize system performance.
- Work closely with business analysts, managers, and leadership to understand business challenges and translate them into analytical solutions.
- Present findings, insights, and recommendations in a clear, concise manner to non-technical audiences, including senior leadership.




- Provide mentorship and guidance on data analysis best practices and advanced analytical techniques to team members and stakeholders.

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Qualifications:

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- A minimum of 5 years of experience in data analysis, with a focus on claims, insurance, or the commercial P&C; industry.
- Proficient in Guidewire Studio (v.10), TortoiseSVN, Jira, Toad, and SQL Developer.
- Expertise in ETL tools and database technologies, including SQL, PL-SQL, and T-SQL procedures.
- Advanced Excel skills, including VBA and Power Query, for data analysis and reporting.
- Proficiency in data analysis tools such as SQL, Python, or SAS.
- Experience with data visualization tools like Tableau, Power BI, or QlikView.
- Solid understanding of P&C; insurance concepts, including claims reserving, loss ratios, and exposure metrics.
- Experience with advanced analytics techniques, such as predictive modeling, clustering, or natural language processing (NLP).
- Familiarity with machine learning concepts and predictive modeling; hands-on experience with AI tools is a plus.
- Extensive experience with claims data, including data migration, integration, and reconciliation processes.
- Hands-on experience with claims management systems (e.g., Guidewire ClaimCenter) is highly desirable.

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📌 Claims Data Analyst (New Delhi)
🏢 VAYUZ Technologies
📍 New Delhi